Title :
Pansharpening Quality Assessment using Modulation Transfer Function Filters
Author :
Khan, Muhammad Murtaza ; Alparone, Luciano ; Chanussot, Jocelyn
Author_Institution :
GIPSA-Lab. Dept. of Images & Signals, Univ. of Florence, Grenoble
Abstract :
Quality assessment of pansharpening methods is not a trivial task. The generally used indexes i.e., Q4, SAM and ERGAS require a reference image at the same resolution as the fused image. Since, this reference image is not available the quality of pansharpening algorithms is tested at degraded resolution. However, this does not provide the means to assess the quality of fused images at the desired high resolution. In this paper we propose a method to assess the fusion quality at high resolution by making use of modulation transfer function filters in the frame works of Wald´s spectral consistency protocol and Zhou´s spatial quality protocol. The results are compared with the recently proposed QNR quality index which also does not require a reference high resolution multispectral image, Zhou´s protocol, Q4, ERGAS and SAM.
Keywords :
geophysical techniques; image fusion; image resolution; optical transfer function; remote sensing; ERGAS index; Q4 index; QNR quality index; SAM index; Wald´s spectral consistency protocol; Zhou´s spatial quality protocol; fused image; high resolution multispectral image; image reference; image resolution; modulation transfer function filters; pansharpening quality assessment; Degradation; Filters; Image resolution; Protocols; Quality assessment; Satellites; Signal resolution; Spatial resolution; Testing; Transfer functions; Image Quality; Pansharpening; Spatial Distortion; Spectral Distortion;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2008. IGARSS 2008. IEEE International
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4244-2807-6
Electronic_ISBN :
978-1-4244-2808-3
DOI :
10.1109/IGARSS.2008.4780027